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<a href="rejection__sampling_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#ifndef BAYESIAN_NETWORKS_INFERENCE_REJECTION_SAMPLING_HPP</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#define BAYESIAN_NETWORKS_INFERENCE_REJECTION_SAMPLING_HPP</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;numeric&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &lt;unordered_map&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="network_8hpp.html">bayesian/network.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="algorithm_8hpp.html">bayesian/algorithm.hpp</a>&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="make__sample_8hpp.html">bayesian/make_sample.hpp</a>&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacebn.html">bn</a> {</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="keyword">namespace </span>inference {</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> RepresentMethod&gt;</div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="classbn_1_1inference_1_1rejection__sampling.html">   26</a></span>&#160;<span class="keyword">class </span><a class="code" href="classbn_1_1inference_1_1rejection__sampling.html">rejection_sampling</a> {</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <span class="keyword">using</span> query_type = std::vector&lt;component::random_variable_ptr&gt;;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keyword">using</span> evidence_type = std::unordered_map&lt;component::random_variable_ptr, std::size_t&gt;;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <span class="keyword">using</span> sample_type = std::unordered_map&lt;component::random_variable_ptr, matrix&lt;std::size_t&gt;&gt;;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    <span class="keyword">using</span> probability_type = std::unordered_map&lt;component::random_variable_ptr, matrix&lt;double&gt;&gt;;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    <span class="comment">// TODO: tag</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <a class="code" href="classbn_1_1inference_1_1rejection__sampling.html">rejection_sampling</a>(<a class="code" href="classbn_1_1network.html">network&lt;RepresentMethod&gt;</a> <span class="keyword">const</span>&amp; <a class="code" href="classbn_1_1network.html">network</a>, <a class="code" href="classbn_1_1cpt__manager.html">cpt_manager</a> <span class="keyword">const</span>&amp; cpts)</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;        : network_(<a class="code" href="classbn_1_1network.html">network</a>.<a class="code" href="classbn_1_1network.html#ae0fed0b2e627a05dc68b33758aa1efec">clone</a>()), cpts_(cpts)</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    {</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    }</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    <span class="comment">// TODO: tag</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">class</span> NetworkType, <span class="keyword">class</span> CptManagerType, <span class="keyword">class</span> QueryType, <span class="keyword">class</span> Ev<span class="keywordtype">id</span>enceType&gt;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <a class="code" href="classbn_1_1inference_1_1rejection__sampling.html">rejection_sampling</a>(NetworkType&amp;&amp; <a class="code" href="classbn_1_1network.html">network</a>, CptManagerType&amp;&amp; cpts, QueryType&amp;&amp; queries = QueryType(), EvidenceType&amp;&amp; evidences = EvidenceType())</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;        : network_(std::forward&lt;NetworkType&gt;(<a class="code" href="classbn_1_1network.html">network</a>)),</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;          cpts_(std::forward&lt;CptManagerType&gt;(cpts)),</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;          queries_(std::forward&lt;QueryType&gt;(queries)),</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;          evidences_(std::forward&lt;EvidenceType&gt;(evidences))</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    {</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    }</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    </div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <a class="code" href="classbn_1_1inference_1_1rejection__sampling.html">rejection_sampling</a>&amp; set_query(query_type queries)</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    {</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        <span class="keywordflow">if</span>(!is_contained(queries, network_)) <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;&quot;</span>); <span class="comment">// TODO:</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;        queries_ = std::move(queries);</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        is_modified_ = <span class="keyword">true</span>;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    }</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">class</span> QueryType&gt;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <a class="code" href="classbn_1_1inference_1_1rejection__sampling.html">rejection_sampling</a>&amp; set_query(QueryType&amp;&amp; queries)</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    {</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        <span class="keywordflow">if</span>(!is_contained(queries, network_)) <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;&quot;</span>); <span class="comment">// TODO:</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        queries_ = std::forward&lt;QueryType&gt;(queries);</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        is_modified_ = <span class="keyword">true</span>;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    }</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <a class="code" href="classbn_1_1inference_1_1rejection__sampling.html">rejection_sampling</a>&amp; set_evidence(evidence_type evidences)</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    {</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        evidences_ = std::move(evidences);</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        is_modified_ = <span class="keyword">true</span>;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    }</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    query_type <span class="keyword">const</span>&amp; query() <span class="keyword">const</span> noexcept { <span class="keywordflow">return</span> queries_; }</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    evidence_type <span class="keyword">const</span>&amp; evidence() <span class="keyword">const</span> noexcept { <span class="keywordflow">return</span> evidences_; }</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    sample_type <span class="keyword">const</span>&amp; sample() <span class="keyword">const</span> noexcept { <span class="keywordflow">return</span> accepted_samples_; }</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    probability_type probability()<span class="keyword"> const</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        probability_type probability_list;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        <span class="keywordflow">for</span>(<span class="keyword">auto</span> <span class="keyword">const</span>&amp; rv_sample : accepted_samples_)</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;        {</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;            <span class="keyword">auto</span> <span class="keyword">const</span>&amp; raw_sample = rv_sample.second.data();</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;            <span class="keyword">auto</span> <span class="keyword">const</span> accepted_num = std::accumulate(raw_sample.cbegin(), raw_sample.cend(), 0);</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;            <a class="code" href="classbn_1_1matrix.html">matrix&lt;double&gt;</a> mat(rv_sample.second.sizes());</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;            <span class="keywordflow">for</span>(std::size_t i = 0; i &lt; raw_sample.size(); ++i)</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                mat[std::vector&lt;std::size_t&gt;{i}] = <span class="keyword">static_cast&lt;</span><span class="keywordtype">double</span><span class="keyword">&gt;</span>(raw_sample[i]) / accepted_num;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;            probability_list.emplace(rv_sample.first, std::move(mat));</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        }</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        <span class="keywordflow">return</span> probability_list;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    }</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    <span class="keywordtype">void</span> reset()</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    {</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        initialize();</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    }</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    sample_type run(std::size_t <span class="keyword">const</span> iterator_num)</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    {</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;        <span class="keywordflow">if</span>(is_modified_)</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        {</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;            initialize();</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;            is_modified_ = <span class="keyword">false</span>;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        }</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        <span class="keyword">auto</span> working_accepted_samples = accepted_samples_;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;        <span class="comment">// std::vector&lt;std::reference_wrapper&lt;matrix&lt;std::size_t&gt;&gt;&gt; quick_accesser;</span></div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        <span class="comment">// quick_accesser.reserve(queries_.size());</span></div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        <span class="comment">// for(auto const&amp; q : queries_)</span></div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        <span class="comment">//     quick_accesser.push_back(working_accepted_samples[q]);</span></div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        <span class="keywordflow">for</span>(std::size_t i = 0; i &lt; iterator_num; ++i)</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;        {</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;            <span class="keyword">auto</span> <span class="keyword">const</span> sample = <a class="code" href="make__sample_8hpp.html#acac083fe36ef6d802ce4e10097fa487e">make_sample</a>(network_, cpts_, topological_sorted_);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;            <span class="keywordflow">if</span>(!is_consistent(sample, evidences_)) <span class="keywordflow">continue</span>;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;            <span class="keywordflow">for</span>(<span class="keyword">auto</span> <span class="keyword">const</span>&amp; q : queries_)</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;                working_accepted_samples[q][std::vector&lt;std::size_t&gt;{sample.at(q)}] += 1;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;            <span class="comment">// for(std::size_t j = 0; j &lt; quick_accesser.size(); ++j)</span></div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;            <span class="comment">//     quick_accesser[j][sample[queries_[j]]] += 1;</span></div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;        }</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        std::swap(working_accepted_samples, accepted_samples_);</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;        <span class="keywordflow">return</span> accepted_samples_;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    }</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    <span class="keywordtype">void</span> initialize()</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    {</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        sample_type new_sample;</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;        <span class="keywordflow">for</span>(<span class="keyword">auto</span> <span class="keyword">const</span>&amp; q : queries_)</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;        {</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;            <a class="code" href="classbn_1_1matrix.html">matrix&lt;std::size_t&gt;</a> mat(std::vector&lt;std::size_t&gt;{ q-&gt;max_value }, 0);</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;            new_sample.emplace(q, std::move(mat));</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;        }</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        <span class="keyword">auto</span> topological_sorted = <a class="code" href="algorithm_8hpp.html#a94e02c4c9fbf63aaf34a8313c6b9ea25">bn::topological_sort</a>(network_);</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;        std::swap(new_sample, accepted_samples_);</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;        std::swap(topological_sorted, topological_sorted_);</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    }</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    <span class="comment">// TODO: 外へ</span></div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">class</span> Elem&gt;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="keywordtype">bool</span> is_contained(std::vector&lt;Elem&gt; <span class="keyword">const</span>&amp; elements, <a class="code" href="classbn_1_1network.html">network&lt;RepresentMethod&gt;</a> <span class="keyword">const</span>&amp; <a class="code" href="classbn_1_1network.html">network</a>)<span class="keyword"> const</span></div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        <span class="keywordflow">return</span> std::all_of(elements.cbegin(), elements.cend(),</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;            [<span class="keyword">this</span>, &amp;<a class="code" href="classbn_1_1network.html">network</a>](<span class="keyword">auto</span> <span class="keyword">const</span>&amp; element)</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;            {</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;                <span class="keywordflow">return</span> is_contained(element, <a class="code" href="classbn_1_1network.html">network</a>);</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;            });</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    }</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <span class="keywordtype">bool</span> is_contained(component::random_variable_ptr <span class="keyword">const</span>&amp; rv, <a class="code" href="classbn_1_1network.html">network&lt;RepresentMethod&gt;</a> <span class="keyword">const</span>&amp; <a class="code" href="classbn_1_1network.html">network</a>)<span class="keyword"> const</span></div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        <span class="keyword">auto</span> <span class="keyword">const</span>&amp; nodes = network_.all_node();</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;        <span class="keywordflow">return</span> std::any_of(nodes.cbegin(), nodes.cend(),</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;            [<span class="keyword">this</span>, &amp;rv](<span class="keyword">auto</span> <span class="keyword">const</span>&amp; n)</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;            {</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;                <span class="keywordflow">return</span> n-&gt;get() == rv;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;            });</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    }</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <span class="keywordtype">bool</span> is_contained(component::node_ptr <span class="keyword">const</span>&amp; node, <a class="code" href="classbn_1_1network.html">network&lt;RepresentMethod&gt;</a> <span class="keyword">const</span>&amp; <a class="code" href="classbn_1_1network.html">network</a>)<span class="keyword"> const</span></div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        <span class="keyword">auto</span> <span class="keyword">const</span>&amp; nodes = network_.all_node();</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;        <span class="keywordflow">return</span> std::any_of(nodes.cbegin(), nodes.cend(),</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;            [&amp;node](<span class="keyword">auto</span> <span class="keyword">const</span>&amp; n)</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;            {</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;                <span class="keywordflow">return</span> n == node;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;            });</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    }</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <span class="comment">// TODO: 外へ</span></div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">bool</span> is_consistent(cpt::condition_type <span class="keyword">const</span>&amp; sample, evidence_type <span class="keyword">const</span>&amp; evidence) <span class="comment">// const</span></div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    {</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;        <span class="keywordflow">for</span>(<span class="keyword">auto</span> <span class="keyword">const</span>&amp; e : evidence)</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;        {</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;            <span class="keywordflow">if</span>(sample.at(e.first) != e.second)</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;        }</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    }</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    <span class="keywordtype">bool</span> is_modified_ = <span class="keyword">true</span>;</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    query_type queries_;</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    evidence_type evidences_;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    sample_type accepted_samples_;</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <a class="code" href="classbn_1_1network.html">network&lt;RepresentMethod&gt;</a> network_;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    <a class="code" href="classbn_1_1cpt__manager.html">cpt_manager</a> cpts_;</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    std::vector&lt;component::node_ptr&gt; topological_sorted_;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;};</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;} <span class="comment">// namespace inference</span></div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;} <span class="comment">// namespace bn</span></div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;<span class="preprocessor">#endif // BAYESIAN_NETWORKS_INFERENCE_REJECTION_SAMPLING_HPP</span></div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;</div><div class="ttc" id="namespacebn_html"><div class="ttname"><a href="namespacebn.html">bn</a></div><div class="ttdef"><b>Definition:</b> algorithm.hpp:16</div></div>
<div class="ttc" id="classbn_1_1inference_1_1rejection__sampling_html"><div class="ttname"><a href="classbn_1_1inference_1_1rejection__sampling.html">bn::inference::rejection_sampling</a></div><div class="ttdoc">Provide a class performing Rejection Sampling for bn::network. </div><div class="ttdef"><b>Definition:</b> rejection_sampling.hpp:26</div></div>
<div class="ttc" id="algorithm_8hpp_html"><div class="ttname"><a href="algorithm_8hpp.html">algorithm.hpp</a></div><div class="ttdoc">Provide algorithms for networks. </div></div>
<div class="ttc" id="classbn_1_1matrix_html"><div class="ttname"><a href="classbn_1_1matrix.html">bn::matrix</a></div><div class="ttdoc">Provide a class representing dinamic N dimensions (N is equal to or greater than 1). </div><div class="ttdef"><b>Definition:</b> matrix.hpp:26</div></div>
<div class="ttc" id="algorithm_8hpp_html_a94e02c4c9fbf63aaf34a8313c6b9ea25"><div class="ttname"><a href="algorithm_8hpp.html#a94e02c4c9fbf63aaf34a8313c6b9ea25">bn::topological_sort</a></div><div class="ttdeci">std::vector&lt; component::node_ptr &gt; topological_sort(network&lt; RepresentMethod &gt; const &amp;g)</div><div class="ttdoc">Perform topological sort for given graph (however, a reversed series can be obtain). </div><div class="ttdef"><b>Definition:</b> algorithm.hpp:40</div></div>
<div class="ttc" id="classbn_1_1network_html"><div class="ttname"><a href="classbn_1_1network.html">bn::network</a></div><div class="ttdoc">Provide a functions for each graph representing class. </div><div class="ttdef"><b>Definition:</b> network.hpp:22</div></div>
<div class="ttc" id="network_8hpp_html"><div class="ttname"><a href="network_8hpp.html">network.hpp</a></div><div class="ttdoc">Provide a functions for each graph representing class. </div></div>
<div class="ttc" id="make__sample_8hpp_html_acac083fe36ef6d802ce4e10097fa487e"><div class="ttname"><a href="make__sample_8hpp.html#acac083fe36ef6d802ce4e10097fa487e">bn::make_sample</a></div><div class="ttdeci">cpt::condition_type make_sample(network&lt; RepresentMethod &gt; const &amp;g, cpt_manager const &amp;cpts, std::vector&lt; component::node_ptr &gt; const &amp;sorted_nodes)</div><div class="ttdoc">Perform topological sort for given graph (however, a reversed series can be obtain). </div><div class="ttdef"><b>Definition:</b> make_sample.hpp:27</div></div>
<div class="ttc" id="classbn_1_1cpt__manager_html"><div class="ttname"><a href="classbn_1_1cpt__manager.html">bn::cpt_manager</a></div><div class="ttdoc">A manager class of some CPTs corresponding to each nodes. </div><div class="ttdef"><b>Definition:</b> cpt.hpp:237</div></div>
<div class="ttc" id="classbn_1_1network_html_ae0fed0b2e627a05dc68b33758aa1efec"><div class="ttname"><a href="classbn_1_1network.html#ae0fed0b2e627a05dc68b33758aa1efec">bn::network::clone</a></div><div class="ttdeci">this_type clone() const</div><div class="ttdoc">Clone this instance. </div><div class="ttdef"><b>Definition:</b> network.hpp:51</div></div>
<div class="ttc" id="make__sample_8hpp_html"><div class="ttname"><a href="make__sample_8hpp.html">make_sample.hpp</a></div><div class="ttdoc">Make a random sample from network and cpts. </div></div>
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